325 citations · 523 across the 6 of their papers we have counts for
4 papers · 1 filter
Refined Composite Multiscale Dispersion Entropy and its Application to Biomedical Signals
Hamed Azami, Mostafa Rostaghi, Daniel Abasolo +1
Multiscale entropy (MSE) is a widely-used tool to analyze biomedical signals. It was proposed to overcome the deficiencies of conventional entropy methods when quantifying the comp…
Comparison of Network Analysis Approaches on EEG Connectivity in Beta during Visual Short-Term Memory Binding Tasks
Keith Smith, Hamed Azami, Mario A. Parra +2
We analyse the electroencephalogram signals in the beta band of working memory representation recorded from young healthy volunteers performing several different Visual Short-Term…
Cluster-Span Threshold: An unbiased threshold for binarising weighted complete networks in functional connectivity analysis
Keith Smith, Hamed Azami, Mario A. Parra +2
We propose a new unbiased threshold for network analysis named the Cluster-Span Threshold (CST). This is based on the clustering coefficient, C, following logic that a balance of `…
Refined Multiscale Fuzzy Entropy based on Standard Deviation for Biomedical Signal Analysis
Hamed Azami, Alberto Fernandez, Javier Escudero
Multiscale entropy (MSE) has been a prevalent algorithm to quantify the complexity of fluctuations in the local mean value of biomedical time series. Recent developments in the fie…